Abstract
This paper addresses the problem of designing a robust fuzzy controller for a class of uncertain fuzzy system with H ∞ optimization and D -stability constraints on the closed-loop pole locations. Takagi and Sugeno (T-S) fuzzy models are used for the uncertain nonlinear systems. By utilizing the concept of the so-called parallel distributed compensation (PDC) method, solutions to the problem are derived in terms of a family of linear matrix inequalities and are numerically tractable via LMI techniques.
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© 2006 Springer-Verlag Berlin Heidelberg
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He, L., Duan, GR. (2006). Robust H ∞ Control with Pole Placement Constraints for T-S Fuzzy Systems. In: Yeung, D.S., Liu, ZQ., Wang, XZ., Yan, H. (eds) Advances in Machine Learning and Cybernetics. Lecture Notes in Computer Science(), vol 3930. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11739685_36
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DOI: https://doi.org/10.1007/11739685_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33584-9
Online ISBN: 978-3-540-33585-6
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